Last modified by adavison on 2022/05/23 22:24
From version 3.1
edited by adavison
on 2020/08/05 08:34
Change comment: There is no comment for this version
To version 4.2
edited by adavison
on 2020/08/05 08:40
Change comment: There is no comment for this version

Summary

Details

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Content
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5 -= My Collab's Extended Title =
1 +== Introduction ==
6 6  
7 -My collab's subtitle
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3 +Computational provenance is a record of all the steps in a computational scientific workflow, including the code that was run, input data, the computational environment (hardware, OS, compiler versions, library version...), and output data.
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15 -= What can I find here? =
5 +Capturing computational provenance facilitates:
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17 -* Notice how the table of contents on the right
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19 -* to hold this page's headers
7 +* reproducibility of results
8 +* management and tracking of workflows/projects by the scientists/engineers involved
9 +* evaluation/review by other scientists and engineers
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21 -= Who has access? =
11 +
22 22  
23 -Describe the audience of this collab.
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13 +== Standards ==
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15 +Information about the W3C PROV ontology and related tools
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29 -{{box title="**Contents**"}}
30 -{{toc/}}
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18 +== Storage of provenance in the Knowledge Graph ==
19 +
20 +
21 +== Tools for automated capture of provenance ==
22 +
23 +* on different systems:
24 +** HPC systems
25 +** neuromorphic systems
26 +** Jupyter notebooks
27 +** users' own computers
28 +* prospective/pre-emptive vs run-time provenance capture
29 +* capture of metadata vs capture of artefacts
30 +
31 +== Communication between computer systems and the KG ==
32 +
33 +* local cache and synchronization?
34 +
35 +
36 +== User interfaces for browsing, visualizing, and searching provenance information ==
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1 +Collabs.provenance-tracking._.groups.collab-provenance-tracking-administrator
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